改进鲸鱼算法的超临界CO2萃取参数整定

doi:10.16180/j.cnki.issn1007-7820.2024.12.011

摘要/Abstract

摘要：

针对超临界CO₂萃取过程中不同控制系统对稳定性、准确性和快速性具有不同要求,文中提出一种改进鲸鱼优化算法目标函数,用于超临界CO₂萃取参数整定。根据被控系统的控制目标采用层次分析法确定绝对值积分鉴定、超调量、余差和调节时间的权重关系,通过三折线法对控制系统性能指标进行归一化,构建鲸鱼优化算法的目标函数。以超临界CO₂萃取过程的压力和温度为被控对象,采用改进鲸鱼优化算法目标函数与传统鲸鱼优化算法目标函数进行参数整定。仿真结果表明,改进的鲸鱼优化算法目标函数在超临界CO₂萃取压力控制系统中能保证压力无超调,在超临界CO₂萃取温度控制系统中调节时间减少了30.17 s,实现了超临界CO₂萃取过程中控制参数的整定优化。

关键词: 鲸鱼优化算法, 层次分析法, 目标函数, 超临界CO₂萃取, 参数整定, 阶跃响应, 时滞, 三折线法

Abstract:

In view of the different requirements of stability, accuracy and rapidity of different control systems in supercritical CO₂ extraction process, an improved whale optimization algorithm objective function is proposed for the parameter tuning of supercritical CO₂ extraction. According to the control target of the controlled system, the weight relationship of absolute integral identification, overshoot, residual difference and adjustment time is determined by analytic hierarchy process. The performance index of the control system is normalized by the three fold line method, and the objective function of the whale optimization algorithm is constructed. Taking the pressure and temperature of supercritical CO₂ extraction as the controlled objects, the improved whale optimization algorithm objective function and the traditional whale optimization algorithm objective function are used to tune the parameters. The simulation results show that the objective function of the improved whale optimization algorithm can ensure no overshoot in the pressure control system of supercritical CO₂ extraction. In the temperature control system of supercritical CO₂ extraction, the adjustment time is reduced by 30.17 s, and the tuning optimization of control parameters in the process of supercritical CO₂ extraction is realized.

Key words: whale optimization algorithm, analytic hierarchy process, objective function, supercritical CO₂ extraction, parameter tuning, step response, time delay, three fold line method

中图分类号:

TN081

曹梦龙, 刘铎, 朱兆森. 改进鲸鱼算法的超临界CO₂萃取参数整定[J]. 电子科技, 2024, 37(12): 73-78.

CAO Menglong, LIU Duo, ZHU Zhaosen. Improved Whale Optimization Algorithm for Supercritical CO₂Extraction Parameter Tuning[J]. Electronic Science and Technology, 2024, 37(12): 73-78.

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标度	含义
1	X_i和X_j具有同等重要性
3	X_i比X_j稍微重要
5	X_i比X_j明显重要
7	X_i比X_j强烈重要
9	X_i比X_j极端重要
2、4、6、8	上述两相邻判断的中值
倒数	若X_ij的标度为b_ij,则X_ji的标度为1/b_ij

参数	X₁	X₂	X₃	X₄
X₁	1.00	0.14	0.33	0.20
X₂	7.00	1.00	2.00	3.00
X₃	3.00	0.50	1.00	0.50
X₄	5.00	0.33	2.00	1.00

参数	X₁	X₂	X₃	X₄
X₁	1.00	6.00	2.00	0.50
X₂	0.17	1.00	0.33	0.11
X₃	0.50	3.00	1.00	0.33
X₄	2.00	9.00	3.00	1.00

参数	i=1	i=2	i=3	i=4
a_i	600	0	0	0
b_i	12 000	10	10	600

改进鲸鱼算法的超临界CO₂萃取参数整定

Improved Whale Optimization Algorithm for Supercritical CO₂Extraction Parameter Tuning

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